Seam-Carving forgery detection based on expanded Markov features
To deal with the digital image forgery using Seam-Carving, a detection algorithm based on expanded Markov features was proposed. The algorithm takes full acount of the image frequency domain change caused by Seam-Carving operation, merges the features based on traditional and expands Markov transfer...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2014-06-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/thesisDetails#10.3969/j.issn.1000-436x.2014.06.006 |
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| _version_ | 1850211806224580608 |
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| author | Guo-rui SHENG Tie-gang GAO Li FAN Lin GAO Fu-sheng YANG Shun ZHANG |
| author_facet | Guo-rui SHENG Tie-gang GAO Li FAN Lin GAO Fu-sheng YANG Shun ZHANG |
| author_sort | Guo-rui SHENG |
| collection | DOAJ |
| description | To deal with the digital image forgery using Seam-Carving, a detection algorithm based on expanded Markov features was proposed. The algorithm takes full acount of the image frequency domain change caused by Seam-Carving operation, merges the features based on traditional and expands Markov transfer-probability matrix. Trained by SVM, the merged Markov feature can identify the Seam-Carving forgery more effectively. The experiment result shows that the performance of the proposed method is better than that of the method based on traditional Markov features and other existing methods. |
| format | Article |
| id | doaj-art-ffde13a59ab947ffa6c816b4a174537f |
| institution | OA Journals |
| issn | 1000-436X |
| language | zho |
| publishDate | 2014-06-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-ffde13a59ab947ffa6c816b4a174537f2025-08-20T02:09:29ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2014-06-0135394659681972Seam-Carving forgery detection based on expanded Markov featuresGuo-rui SHENGTie-gang GAOLi FANLin GAOFu-sheng YANGShun ZHANGTo deal with the digital image forgery using Seam-Carving, a detection algorithm based on expanded Markov features was proposed. The algorithm takes full acount of the image frequency domain change caused by Seam-Carving operation, merges the features based on traditional and expands Markov transfer-probability matrix. Trained by SVM, the merged Markov feature can identify the Seam-Carving forgery more effectively. The experiment result shows that the performance of the proposed method is better than that of the method based on traditional Markov features and other existing methods.http://www.joconline.com.cn/thesisDetails#10.3969/j.issn.1000-436x.2014.06.006image forensics; image forgery;Seam-Carving;Markov feature;image resizing |
| spellingShingle | Guo-rui SHENG Tie-gang GAO Li FAN Lin GAO Fu-sheng YANG Shun ZHANG Seam-Carving forgery detection based on expanded Markov features Tongxin xuebao image forensics; image forgery;Seam-Carving;Markov feature;image resizing |
| title | Seam-Carving forgery detection based on expanded Markov features |
| title_full | Seam-Carving forgery detection based on expanded Markov features |
| title_fullStr | Seam-Carving forgery detection based on expanded Markov features |
| title_full_unstemmed | Seam-Carving forgery detection based on expanded Markov features |
| title_short | Seam-Carving forgery detection based on expanded Markov features |
| title_sort | seam carving forgery detection based on expanded markov features |
| topic | image forensics; image forgery;Seam-Carving;Markov feature;image resizing |
| url | http://www.joconline.com.cn/thesisDetails#10.3969/j.issn.1000-436x.2014.06.006 |
| work_keys_str_mv | AT guoruisheng seamcarvingforgerydetectionbasedonexpandedmarkovfeatures AT tieganggao seamcarvingforgerydetectionbasedonexpandedmarkovfeatures AT lifan seamcarvingforgerydetectionbasedonexpandedmarkovfeatures AT lingao seamcarvingforgerydetectionbasedonexpandedmarkovfeatures AT fushengyang seamcarvingforgerydetectionbasedonexpandedmarkovfeatures AT shunzhang seamcarvingforgerydetectionbasedonexpandedmarkovfeatures |